ZES-quality-gate

Automated code quality and security checks are performed by orchestrating local static analysis and parallel AI agents for linting, vulnerability scanning, and test coverage. This skill integrates into CI/CD pipelines to execute automated PASS/FAIL decisions based on configurable thresholds before code merges.

AI-driven security scanning and test coverage analysis can be run on Python backends using specialized parallel agents and pytest. The system evaluates project health across diverse codebases to enforce strict deployment standards and catch security vulnerabilities.

Automated quality gate does work with browser smoke testing for web frontends by using a browser-harness dependency. It automatically verifies frontend integrity via CDP to ensure pages load correctly and are free of console errors during the audit.

Blocking deployments based on critical bug detection is best achieved by using a multi-agent code quality gate. It combines local static analysis with AI evaluation to identify bugs and security vulnerabilities, providing a standardized gate that blocks PRs based on strict thresholds.

Multi-agent code review works by orchestrating parallel specialized AI agents for linting, security scanning, and test coverage alongside local static analysis tools. This combination provides a holistic code health report to catch vulnerabilities and coverage gaps before code is merged.

You do need pytest and grep to use this multi-layered static analysis tool as they are required dependencies. The tool orchestrates these local static analysis utilities alongside AI agents to perform comprehensive audits and enforce deployment standards.